Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales

Background: Confusion in observational epidemiological studies distorts the relationship between exposure and event. “Step by step” regression models, diverts the decision to a statistical algorithm with little causal basis. Directed Acyclic Graphs (DAGs), qualitatively and visu...

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Autores principales:	Werlinger,Fabiola, Cáceres,Dante D.
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2018
Materias:	Confounding Factors (Epidemiology) Epidemiologic Methods Regression Analysis
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872018000700907
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spelling	oai:scielo:S0034-988720180007009072018-09-26Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionalesWerlinger,FabiolaCáceres,Dante D. Confounding Factors (Epidemiology) Epidemiologic Methods Regression Analysis Background: Confusion in observational epidemiological studies distorts the relationship between exposure and event. “Step by step” regression models, diverts the decision to a statistical algorithm with little causal basis. Directed Acyclic Graphs (DAGs), qualitatively and visually assess the confusion. They can complement the decision on confounder control during statistical modeling. Aim: To evaluate the minimum set of confounders to be controlled in a cause-effect relationship with the use of “step-by-step regression” and DAGs, in a study of arsenic exposure. Material and Methods: We worked with data from Cáceres et al., 2010 in 66 individuals from northern Chile. The interindividual variability in the urinary excretion of dimethyl arsenic acid attributable to the GSTT1 polymorphism was estimated. A causal DAG was constructed using DAGitty v2.3 with the list of variables. A multiple linear regression model with the step-by-step backwards methodology was carried out. Results: The causal diagram included 12 non-causal open pathways. The minimum adjustment set corresponded to the variables “sex”, “body mass index” and “fish and seafood ingest”. Confusion retention of the multivariate model included normal and overweight status, gender and the interaction between “water intake” and GSTT1. Conclusions: The use of DAG prior to the modeling would allow a more comprehensive, coherent and biologically plausible analysis of causal relationships in public health.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.146 n.7 20182018-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872018000700907es10.4067/s0034-98872018000700907
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Confounding Factors (Epidemiology) Epidemiologic Methods Regression Analysis
spellingShingle	Confounding Factors (Epidemiology) Epidemiologic Methods Regression Analysis Werlinger,Fabiola Cáceres,Dante D. Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
description	Background: Confusion in observational epidemiological studies distorts the relationship between exposure and event. “Step by step” regression models, diverts the decision to a statistical algorithm with little causal basis. Directed Acyclic Graphs (DAGs), qualitatively and visually assess the confusion. They can complement the decision on confounder control during statistical modeling. Aim: To evaluate the minimum set of confounders to be controlled in a cause-effect relationship with the use of “step-by-step regression” and DAGs, in a study of arsenic exposure. Material and Methods: We worked with data from Cáceres et al., 2010 in 66 individuals from northern Chile. The interindividual variability in the urinary excretion of dimethyl arsenic acid attributable to the GSTT1 polymorphism was estimated. A causal DAG was constructed using DAGitty v2.3 with the list of variables. A multiple linear regression model with the step-by-step backwards methodology was carried out. Results: The causal diagram included 12 non-causal open pathways. The minimum adjustment set corresponded to the variables “sex”, “body mass index” and “fish and seafood ingest”. Confusion retention of the multivariate model included normal and overweight status, gender and the interaction between “water intake” and GSTT1. Conclusions: The use of DAG prior to the modeling would allow a more comprehensive, coherent and biologically plausible analysis of causal relationships in public health.
author	Werlinger,Fabiola Cáceres,Dante D.
author_facet	Werlinger,Fabiola Cáceres,Dante D.
author_sort	Werlinger,Fabiola
title	Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
title_short	Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
title_full	Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
title_fullStr	Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
title_full_unstemmed	Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
title_sort	aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales
publisher	Sociedad Médica de Santiago
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872018000700907
work_keys_str_mv	AT werlingerfabiola aplicaciondegrafosaciclicosdirigidosenlaevaluaciondeunsetminimodeajustedeconfusoresuncomplementoalmodelamientoestadisticoenestudiosepidemiologicosobservacionales AT caceresdanted aplicaciondegrafosaciclicosdirigidosenlaevaluaciondeunsetminimodeajustedeconfusoresuncomplementoalmodelamientoestadisticoenestudiosepidemiologicosobservacionales
_version_	1718437015260758016

Aplicación de grafos acíclicos dirigidos en la evaluación de un set mínimo de ajuste de confusores: un complemento al modelamiento estadístico en estudios epidemiológicos observacionales

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